What you'll learn:
- Understand Large Language Models (LLMs) and how they work
- Work with tokens, context windows, and model settings
- Write effective prompts using proven prompt engineering techniques
- Build a chatbot from scratch with a clean, maintainable architecture
- Create a review summarizer that helps users make faster decisions
- Integrate open-source models using Hugging Face and Ollama
- Run models locally on your own machine
- Apply best practices and clean code principles
- Use modern tools to build full-stack AI-powered apps (Bun, Tailwind CSS, shadcn/ui, Prisma, and more)
AI is everywhere — but can you actually build with it?
Most developers have played around with ChatGPT. Maybe you’ve even copied some AI-generated code into your project. But that’s not the same as building real, AI-powered features that make your apps smarter, more engaging, and more valuable to users.
That’s exactly what this course is about.
In Build Full-Stack AI-Powered Apps, I’ll walk you step by step through the concepts, modern tools, and best practices you need to create production-ready apps powered by AI.
This is the AI course every developer needs right now.
What You'll Learn
Understand Large Language Models (LLMs) and how they work
Work with tokens, context windows, and model settings
Write effective prompts using proven prompt engineering techniques
Build a chatbot from scratch with a clean, maintainable architecture
Create a review summarizer that helps users make faster decisions
Integrate open-source models using Hugging Face and Ollama
Run models locally on your own machine
Apply best practices and clean code principles
Use modern tools to build full-stack AI-powered apps (Bun, Tailwind CSS, shadcn/ui, Prisma, and more)
What You'll Build
Chatbot: Build a chatbot that can answer questions about an imaginary theme park — things like “What rides are suitable for kids under 10?”, “Where can I find vegetarian food options?”, or “What are the park’s opening hours?”. Instead of clicking through menus or digging through a website, visitors can get instant answers. Step by step, you’ll create the backend, structure your code using clean architecture principles, and build a modern frontend that makes the experience seamless and engaging.
Review Summarizer: These days, lots of apps let users summarize content so they can make faster decisions. In this project, we’ll build a tool that condenses customer reviews into clear, actionable insights. The techniques you’ll learn here can be applied to all sorts of AI-integrated features.
